Robust Control Strategies for Grid-Connected Crossover Switches Cell Multilevel Inverters: Comparative Analysis and Performance Evaluation

Journal Article (2026)
Author(s)

H. Makhamreh (Özyeğin University)

M. Trablesi (Kuwait College of Science and Technology)

H. Vahedi (Abdullah Al Salem University, TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
DC systems, Energy conversion & Storage
DOI related publication
https://doi.org/10.1109/OJPEL.2026.3658028 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
DC systems, Energy conversion & Storage
Journal title
IEEE Open Journal of Power Electronics
Volume number
7
Pages (from-to)
464 - 474
Downloads counter
21
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Abstract

Multilevel inverters (MLIs) have become key enablers in renewable energy (RE) integration and electric vehicle (EV) systems, where high-quality power conversion and robustness are critical. Among the different topologies, the Crossover Switches Cell (CSC) converter has recently gained attention due to its superior voltage-boosting capability and reduced component count. While most existing studies on CSC control strategies have been limited to simulations, this work advances the field by providing comprehensive real-time experimental validation under varying operating conditions and parameter mismatches. Finite Control Set Model Predictive Control (FCS-MPC), Sliding Mode Control (SMC), and Lyapunov-based MPC (LMPC) are comparatively assessed in terms of dynamic response, voltage regulation, harmonic minimization, and robustness. Real-time implementation on an Opal-RT platform demonstrates that MPC achieves superior current control with minimal harmonics, SMC offers strong disturbance rejection and effective capacitor voltage balancing, while LMPC guaranties stability with a reduced computational burden. The presented results highlight the trade-offs between these advanced control strategies while providing practical guidelines for selecting robust control techniques for grid-connected MLIs in RE and EV applications.